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Explore a grounded approach to AI and LLM security in this 18-minute conference talk from BSidesCharm 2025. As Large Language Models rapidly advance AI capabilities, security teams face new challenges in establishing proper safeguards. Learn why focusing on fundamental security principles remains critical, even while developing secure LLM prompts. Speaker Lucas Tamagna-Darr, Senior Director of Engineering and Research Solutions Architect at Tenable, draws from his extensive experience leading automation and engineering functions within Tenable Research. Having started his career developing plugins for Nessus and Nessus Network Monitor, Tamagna-Darr now applies his expertise to enhance content and capabilities across Tenable's product offerings.
Syllabus
BSidesCharm 2025 - A Grounded Approach to AI and LLM Security - Lucas Tamagna-Darr
Taught by
BSidesCharm